yohanesnuwara's
repositories
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A 3D channel body interpretation via multiple attributes and supervoxel graph cut.pdf
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A machine-learning benchmark for facies classification.pdf
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A scalable deep learning platform for identifying geologic features from seismic attributes.pdf
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A seismic facies classification method based on the convolutional neural network and the probabilistic framework for seismic attributes and spatial classification.pdf
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An enhanced fault-detection method based on adaptive spectral decomposition and super-resolution deep learning.pdf
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Application of Data Analytics for Production Optimization in Unconventional Reservoirs A Critical Review.pdf
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Applications of supervised deep learning for seismic interpretation and inversion.pdf
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Assessment of machine-learning techniques in predicting lithofluid facies logs in hydrocarbon wells.pdf
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Attribute selection in seismic facies classification Application to a Gulf of Mexico 3D seismic survey and the Barnett Shale.pdf
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Automated interpretation of top and base salt using deep convolutional networks.pdf
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Automated salt-dome detection using an attribute ranking framework with a dictionary based classifier.pdf
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Automatic channel detection using deep learning.pdf
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Automatic mapping of the base of aquifer — A case study from Morrill, Nebraska.pdf
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Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps.rar
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Convolutional neural networks as aid in core lithofacies classification.pdf
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Deep learning applied to seismic attribute computation.pdf
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Depositional sequence characterization based on seismic variational mode decomposition.pdf
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Descriptive Data Analytics for the Stimulation, Completion Activities, andWells' Productivity in the Marcellus Shale Play.pdf
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Distributed collaborative prediction Results of the machine learning contest.pdf
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Eagle Ford Fluid Type Variation and Completion Optimization A Case.pdf
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Effective glue between geoscience concepts, data, and modeling systems.pdf
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Estimating normal moveout velocity using the recurrent neural network.pdf
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Facies classification using machine learning.pdf
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Full-volume 3D seismic interpretation methods A new step towards high-resolution seismic stratigraphy.pdf
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Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment.pdf
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Geophysical inversion versus machine learning.pdf
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Geostatistical seismic inversion for frontier exploration.pdf
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High-resolution water-saturation prediction using geostatistical inversion and neural network methods.pdf
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Improving seismic fault detection by super-attribute-based classification.pdf
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Introduction to this special section Data analytics and machine learning.pdf
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Introduction to this special section Machine learning applications.pdf
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Lithofacies-dependent rock-physics templates of an unconventional shale reservoir on the North Slope, Alaska.pdf
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Machine Learning A Deep Learning Approach for Seismic Structural Evaluation.pdf
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Machine Learning Using Optimized KNN (K-Nearest Neighbors) to Predict the Facies Classifications .pdf
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Machine Learning in Rock Facies Classification An Application of XGBoost.pdf
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Machine learning and geophysical inversion a numerical study.pdf
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Machine learning and learning from machines.pdf
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Machine learning as a tool for geologists.pdf
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Machine learning in the interpreter’s toolbox unsupervised, supervised, and deep learning applications.pdf
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Machine learning regressors and their metrics to predict synthetic sonic and mechanical properties.pdf
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Machine learning systems open up access to large volumes of valuable information lying dormant in unstructured documents.pdf
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Multiresolution neural networks for tracking seismic horizons from few training images.pdf
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Neural networks for geophysicists and their application to seismic data interpretation.pdf
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Oilfield Data Analytics Linking Fracturing Chemistry and Well.pdf
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Open access and open science progression.pdf
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Predicting Gas Production Using Machine Learning Methods A Case Study.pdf
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Production Metric Analytics in the Wolfcamp Formation.pdf
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README.md
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Rock typing in the Upper Devonian-Lower Mississippian Woodford Shale.pdf
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Sedimentary environment prediction of grain-size data based on machine learning approach.pdf
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Seismic attribute selection and clustering to detect and classify surface waves in multicomponent seismic data by using k-means algorithm.pdf
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Seismic attributes and analogues to characterize a large fold in the Taranaki Basin.pdf
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Seismic graph analysis to aid seismic interpretation.pdf
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Seismic methods for fluid discrimination in areas with complex geologic.pdf
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Seismic structure interpretation based on machine learning A case study in coal mining.pdf
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Spectral similarity fault enhancement.pdf
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Statistical approach to neural network imaging of karst systems in 3D seismic reflection data.pdf
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TRACKING 3D SEISMIC HORIZONS WITH A NEW, HYBRID TRACKING ALGORITHM.pdf
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The Rise of the Machines, Analytics, and the Digital Oilfield Artificial Intelligence in the Age of Machine Learning and Cognitive Analytics.pdf
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The Western Australia Modeling project — Part 2 Seismic validation.pdf
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The use of predictive analytics for hydrocarbon exploration in the Denver-Julesburg Basin.pdf
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Three data analytics party tricks.pdf
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Validated artificial neural networks in determining petrophysical properties.pdf
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Visualize geoscience education — Earth Science Week 2015.pdf
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